2results about How to "Build quickly and efficiently" patented technology

This invention discloses a target recognition method, docking system, and docking method in a space environment. By adjusting the output intensity of the sunlight simulator's light source and the position and angle of the simulated work equipment, different types of simulated target images are obtained, forming a target photo library. The simulated target images are processed into small target images and then placed into a small target image library. This small target image library is merged with the target photo library augmented by GAN data, and divided into training and testing libraries proportionally. An SA-YOLOX network is constructed. The SA-YOLOX network is trained using the training library to obtain an SA-YOLOX target detection model. The augmented target photo library is tested using the SA-YOLOX target detection model and the testing library to obtain test results. Based on the test results and model metrics, an evaluation result is output. This invention effectively overcomes the performance index problem of the YOLO series algorithms in solving the special situation of high-contrast image target recognition in complex space environments.

The application discloses a planning processing method and system for pre-aggregation calculation of a time series database, belongs to the technical field of time series databases, and aims to solve the technical problem of how to quickly query the aggregation calculation results of each collection point. The method comprises the following steps: obtaining a pre-aggregation calculation statement input by a user; calling a logical execution plan generation interface of a parser to analyze the pre-aggregation calculation statement, analyzing the pre-aggregation calculation statement into a corresponding logical plan, and analyzing the result type of the aggregation rule of the pre-aggregation calculation statement; creating a result table according to the obtained result type, wherein the result table is used for storing the aggregation calculation results; calling an execution plan generation interface of the parser to generate a general execution plan based on the logical plan; clipping the execution plan to obtain a clipped execution plan; and matching the clipped execution plan with the result table and executing the result table.